Literature DB >> 30787079

Incidence and prognostic impact of post discharge bleeding post acute coronary syndrome within an outpatient setting: a systematic review.

Nafiu Ismail1, Kelvin P Jordan1, Sunil Rao2, Tim Kinnaird3, Jessica Potts1, Umesh T Kadam4, Mamas A Mamas1.   

Abstract

OBJECTIVE: The primary objective was to determine the incidence of bleeding events post acute coronary syndrome (ACS) following hospital discharge. The secondary objective was to determine the prognostic impact of bleeding on mortality, major adverse cardiovascular events (MACE), myocardial re-infarction and rehospitalisation in the postdischarge setting.
DESIGN: A narrative systematic review. DATA SOURCE: Medline, Embase, Amed and Central (Cochrane) were searched up to August 2018. STUDY SELECTION: For the primary objective, randomised controlled trials (RCT) and observational studies reporting on the incidence of bleeding post hospital discharge were included. For the secondary objective, RCTs and observational studies that compared patients with bleeding versus those without bleeding post hospital discharge vis-à-vis mortality, MACE, myocardial re-infarction and rehospitalisation were included.
RESULTS: 53 studies (36 observational studies and 17 RCTs) with a combined cohort of 714 458 participants for the primary objectives and 187 317 for the secondary objectives were included. Follow-up ranged from 1 month to just over 4 years. The incidence of bleeding within 12 months post hospital discharge ranged from 0.20% to 37.5% in observational studies and between 0.96% and 39.4% in RCTs. The majority of bleeds occurred in the initial 3 months after hospital discharge with bruising the most commonly reported event. Major bleeding increased the risk of mortality by nearly threefold in two studies. One study showed an increased risk of MACE (HR 3.00,95% CI 2.75 to 3.27; p<0.0001) with bleeding and another study showed a non-significant association with rehospitalisation (HR 1.20,95% CI 0.95 to 1.52; p=0.13).
CONCLUSION: Bleeding complications following ACS management are common and continue to occur in the long term after hospital discharge. These bleeding complications may increase the risk of mortality and MACE, but greater evidence is needed to assess their long-term effects. PROSPERO REGISTRATION NUMBER: CRD42017062378. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  acute coronary syndrome; bleeding; haemorrhage; mortality; outpatient; post discharge

Mesh:

Year:  2019        PMID: 30787079      PMCID: PMC6398751          DOI: 10.1136/bmjopen-2018-023337

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is the first systematic review that has examined the incidence and prognostic impacts of bleeding complications post acute coronary syndrome (ACS) within the outpatient setting. The review combined evidence from observational studies and randomised controlled trials involving a total of 714 458 participants for the primary objectives and 187 317 for the secondary objectives. The studies included in the review were heterogeneous in regard to bleeding definition, the ACS presentation, demographic characteristics of the study participants, severity and type of bleeding examined, length of follow-up, discharged antiplatelet and anticoagulant regimens, therefore we were unable to pool data quantitatively. The findings in relation to major adverse cardiovascular events and rehospitalisation should serve as hypothesis generating due to limited data.

Introduction

The management of acute coronary syndrome (ACS) depends on the clinical presentation, with an overall aim of reducing myocardial ischaemia and adverse ischaemic events.1 This goal is fundamentally achieved via therapy with a combination of antithrombotic and invasive strategies. Paradoxically, these management strategies while achieving the desired goal of reducing ischaemic events increases the risk of bleeding complications.2–4 In the clinical trial setting, the incidence of major bleeding is reported to be between 1% and 10% depending on the bleeding definition used,5–7 with observational studies reporting incidences of between 2.8%8 and 11%.9 However, the emphasis in the majority of these studies has been on major in-hospital or 30-day bleeding events (a composite of in-hospital and postdischarge events), with little consideration for events in the long term after hospital discharge. Post hospital discharge, patients with ACS may remain on dual antiplatelet therapy for up to a year, and aspirin indefinitely, so their risk of bleeding complications persist in the long term. Major bleeding is an independent predictor of adverse outcomes, including mortality, recurrent myocardial infarction (MI), stroke, and stent thrombosis in patients with ACS.5 10–13 The association between major in-hospital bleeding events and adverse outcomes (most notably mortality) appeared to be maintained regardless of the definition of bleeding used.5 10–12 14 These adverse events do, however, appear to depend on the anatomic site of the bleed,15 and the site of bleeding may vary between the in-hospital and the postdischarge settings. While the nature of in-hospital bleeds and their association with adverse events has been well described, the timing, types and association of bleeding events that occur late after hospital discharge with clinical outcomes such as mortality is unclear. To date, there has not been a systematic review of the incidence, types, and prognostic impact of bleeding events post hospital discharge for ACS. The primary objective of this systematic review was therefore to determine the incidence, timing, and types of post hospital discharge bleeds within the adult post-ACS population. The secondary objective was to determine the association of postdischarge bleeds with mortality, major adverse cardiovascular events (MACE), rehospitalisation and re-infarction in the outpatient setting.

Methods

Eligibility criteria

There were two linked objectives for the systematic review. For the primary objective, we selected studies that reported on the incidence, timing, and types of bleeding post-ACS post hospital discharge. For the secondary objective, we included studies that compared patients with versus those without bleeding post-ACS post hospital discharge in relation to mortality, MACE, myocardial re-infarction and rehospitalisation. We only included randomised controlled trials (RCTs) where bleeding events were reported as secondary or safety outcomes, and observational studies which were published in English. Studies where the intervention was coronary artery bypass graft surgery or elective percutaneous coronary intervention (PCI) were excluded. We also excluded studies where the study population comprised patients with stable angina or other coronary artery disease. See table 1 for detailed inclusion and exclusion criteria for the review. For studies using the same data source, only one was included in the review, based on: (1) quality, and then by (2) sample size, followed by (3) length of follow-up, unless the studies reported on different outcomes.
Table 1

Inclusion and exclusion criteria specific to primary and secondary objectives

Inclusion criteriaExclusion criteria
Primary objective

 Participants aged 18 years and over

✓Cannot be ascertained whether bleed occurred in-hospital or postdischarge

 Participants discharged with an ACS diagnosis (UA or STEMI or NSTEMI) at index hospitalisation

✓In-hospital bleeds only

 Randomised controlled trial or observational study

✓Incidence and 95% CI or number of bleeding events cannot be extracted or calculated

 Bleeding occurred after hospital discharge

✓Study population combined patients with ACS and other coronary diseases such as stable angina

 Any type of bleeding examined (such as gastrointestinal bleed) post hospital discharge for ACS

✓Postdischarge bleeding after PCI, without specifying the clinical presentation for the PCI or whether the PCI was elective

 Incidence and associated 95% CI can be extracted or calculated

✓Only reporting CABG-related bleeds
✓Conference/study abstracts, editorials and reviews
Secondary objective

 Participants aged 18 years and over

✓Cannot be ascertained whether bleed occurred in-hospital or postdischarge

 Participants discharged with an ACS diagnosis (UA or STEMI or NSTEMI) at index hospitalisation

✓In-hospital bleeds only

 Randomised controlled trial or observational study

✓Study population combined patients with ACS and other coronary diseases such as stable angina

 Bleeding occurred after hospital discharge

✓Postdischarge bleeding after PCI, without specifying the clinical presentation for the PCI or whether the PCI was elective

 Evaluated outcome of or composite of mortality, MI, rehospitalisation and MACE in bleed vs no bleed cohorts

✓Only reporting CABG-related bleeds
✓Conference/study abstracts, editorials and reviews

ACS, acute coronary syndrome; CABG, coronary artery bypass graft; MACE, major adverse cardiovascular event; MI, myocardial infarction; NSTEMI, non-ST-elevation myocardial infarction; PCI, percutaneous coronary intervention; STEMI, ST-elevation myocardial infarction; UA, unstable angina.

Inclusion and exclusion criteria specific to primary and secondary objectives Participants aged 18 years and over Participants discharged with an ACS diagnosis (UA or STEMI or NSTEMI) at index hospitalisation Randomised controlled trial or observational study Bleeding occurred after hospital discharge Any type of bleeding examined (such as gastrointestinal bleed) post hospital discharge for ACS Incidence and associated 95% CI can be extracted or calculated Participants aged 18 years and over Participants discharged with an ACS diagnosis (UA or STEMI or NSTEMI) at index hospitalisation Randomised controlled trial or observational study Bleeding occurred after hospital discharge Evaluated outcome of or composite of mortality, MI, rehospitalisation and MACE in bleed vs no bleed cohorts ACS, acute coronary syndrome; CABG, coronary artery bypass graft; MACE, major adverse cardiovascular event; MI, myocardial infarction; NSTEMI, non-ST-elevation myocardial infarction; PCI, percutaneous coronary intervention; STEMI, ST-elevation myocardial infarction; UA, unstable angina.

Search strategy

Medline (Healthcare Databases Advanced Search (HDAS); 1946–August 2018), Embase (Ovid SP; 1974–August 2018), Amed (Ovid SP; 1985–August 2018) and Central (Cochrane central register of controlled trials) were searched up to August 2018 using a search strategy which combined keywords and related database-specific subject headings for both primary and secondary objectives (see online supplementary table 1 for the full search strategy used on the Embase database). The Journal of the American College of Cardiology (JACC), the European Heart Journal, Heart, and Circulation were electronically searched for relevant articles and grey literature. The bibliographies of included studies and relevant review articles identified from each database were scrutinised for additional relevant articles. Citation tracking of included studies via Web of Science was carried out to retrieve additional relevant articles.

Study selection

The titles of all identified articles were screened and those which were obviously irrelevant were eliminated at this stage. The abstracts of the remaining articles were screened independently by NI and JP. Discordances were resolved by consensus between NI, JP and MAM. The full texts of the remaining articles were then screened by NI, with JP also screening 1 in 10.

Data extraction

We extracted study characteristics including study design, setting, length of follow-up, in-hospital interventions, participant characteristics, discharged therapy and comorbidities. The outcomes of incidence of postdischarge bleeding and associated 95% CIs, time of bleed, location/type of bleed, and the adjusted and unadjusted associations of bleeding with mortality, MACE, re-infarction and rehospitalisation were extracted from individual studies onto a prepiloted and formatted spreadsheet. In studies where incidence and associated 95% CIs were not reported but relevant data were available, incidence per 100 persons at risk were calculated (ie, essentially as a proportion). For studies that combined in-hospital and postdischarge bleeds, and episodes of bleeds were stratified by time (for instance at 30 days, 6 months, 12 months), bleeds that occurred within the initial 30 days were considered to be in-hospital bleeds (decided by consensus of NI, KJP, MAM and UTK) and therefore removed from the numerator and denominator. The authors of original studies were contacted where necessary data were missing or to confirm methodological aspects or other characteristics of the study.

Quality assessment

Observational studies and post hoc observational analyses of RCTs were appraised by the Newcastle Ottawa Scale (NOS) for assessing risk of bias in non-randomised studies.16 The NOS quality assessment scale contains eight items partitioned into three categories of selection, comparability and outcome. A maximum of one star is allocated to a high-quality study for each item under selection and outcome and a maximum of two stars under comparability, giving an overall maximum of nine stars. We considered studies with an overall number of stars greater than or equal to six stars as high-quality studies.17 RCTs were appraised by the Scottish Intercollegiate Guideline Network quality assessment tool.18 Each study was categorised as high quality, acceptable quality or low quality based on the standard criteria for this tool. Quality assessment was based on the primary objective of each study as incidence of bleeding was typically reported as safety or secondary outcome measure.

Data synthesis

A narrative synthesis approach was applied due to heterogeneity in relation to length of follow-up, ACS presentation, definition of bleeding used, type of bleeding examined, severity of bleeding examined, geographical location and discharge therapy across studies. For the primary objective, the narrative synthesis was carried out in stages. Initially, the incidence of bleeding overall was summarised separately for observational studies and RCTs. The incidence of bleeding was then stratified by ACS presentation (ST-elevation myocardial infarction [STEMI], non-ST-elevation myocardial infarction/unstable angina [NSTEMI/UA]) and discharge antithrombotic drug combinations and duration (single antiplatelet [SAPT], dual antiplatelet [DAPT] and receipt of oral anticoagulant) in studies that reported these. To assess the incidence of bleeding by time from hospital discharge, the incidence of bleeding was stratified by follow-up time within studies which looked at multiple time periods. Where studies allowed, the incidence of bleeding stratified by major, minor and nuisance bleeds (see online supplementary table 2 for definitions), and the incidence of different types of bleeding events were examined. We assessed the strength of evidence (SOE) for each secondary outcome following the Agency for Healthcare Research and Quality guideline.19 For each secondary outcome, assessment was carried out by examining risk of bias, consistency, directness and precision across studies that reported on this outcome, and a grade allocated as high, moderate, low or insufficient based on these assessments.

Patient and public involvement

Patients and members of the public did not have any role in the design, conduct, data synthesis or reporting of the study.

Results

The search of Medline, Embase, Amed and Central (Cochrane) identified 37 studies,20–56 4 studies were further identified from electronic search of JACC database,3 57–59 2 from Web of Science citation index,60 61 9 from bibliographic screening of included studies,4 62–69 and finally, 1 from recommendation by an expert within the field.70 Overall, 53 studies (36 observational studies and 17 RCTs) were included in the review with a combined cohort of 714 458 participants for the primary objectives and 187 317 for the secondary objectives (figure 1). Of the 53 studies, 45 only reported on the primary outcomes, 3 only reported on the secondary outcomes and 5 reported on both primary and secondary outcomes.
Figure 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart depicting steps involved in selecting or rejecting studies for inclusion in the review.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart depicting steps involved in selecting or rejecting studies for inclusion in the review.

Characteristics of included studies

The characteristics of included studies (for the primary objective) are summarised in table 2 for observational studies and table 3 for RCTs. Overall, 50 studies reported on the primary outcome, of which 68% (n=34) were cohort studies and 32% (n=16) were RCTs. The characteristics of included studies for the secondary objective are summarised in table 4. Overall, eight studies reported on the secondary outcomes, of which seven were cohort studies and one was an RCT.
Table 2

Summary of observational studies included in the review by length of follow-up, bleeding definition used and in-hospital management strategy

Primary authorLocationSettingStudy designLength of follow-upBleeding criteriaIn-hospital management strategyNParticipants with bleed (n)Crude incidence of bleeding per 100 persons and 95% CIQuality score
Cuisset et al 29 FranceInpatientProspective cohort1 monthTIMI major/minorPCI597162.68 (1.66 to 4.31)*2
Braun et al 26 SwedenRegistryRetrospective cohort3 monthsBARC 2–5PCI263269.89 (6.84 to 14.1)*5
Amin et al 21 USARegistryRetrospective cohort6 monthsBARC 1–5PCI9290224624.2 (23.3 to 25.1)*5
Amin et al 20 USARegistryRetrospective cohort12 monthsBARC 1PCI3560133537.5 (35.9 to 39.1)*4
Lattuca et al 36 FranceInpatientProspective cohort12 monthsBARC 1–3PCI36913235.8 (31.1 to 40.8)*5
Bacquelin et al 22 FranceRegistryProspective cohort12 monthsBARC 2–5PCI1006797.85 (6.35 to 9.68)*5
Palmerini et al 59 MulticentreUnclearProspective cohort12 monthsBARC (any)PCI1053413.91 (2.89 to 5.26)*5
Kassaian et al 33 IranRegistryProspective cohort12 monthsGUSTO mild, moderate, severeNR1640231.40 (0.94 to 2.10)*4
Yetgin et al 54 The NetherlandsRegistryCohort12 monthsTIMI majorPCI2443230.94 (0.63 to 1.41)*5
Fosbol et al 30 USARegistryProspective cohort12 monthsBleed leading to hospitalisationNR761992812.2 (11.5 to 12.9)*6
Tsai et al 85 TaiwanRegistryRetrospective cohort12 monthsGastrointestinal bleedNR35802737.63 (6.80 to 8.54)*5
Garay et al 70 SpainRegistryRetrospective cohort12 monthsBleed leading to hospitalisation, transfusion or suspension of antithromboticsNR1375695.02 (3.98 to 6.30)*3
Garay et al 55 MulticentreRegistryCohort12 monthsIntracranial bleeding or bleed leading to hospitalisation or transfusionPCI15 4014893.18 (2.91 to 3.46)*5
Effron et al 50 USARegistryRetrospective cohort12 monthsBleed leading to hospitalisation or transfusionPCI15 7884923.12 (2.86 to 3.40)*4
Brinkert et al 47 CanadaRegistryCohort12 monthsHospitalisation with major bleedingPCI, angiography, medically22 3125882.72 (2.51 to 2.94)*5
Ko et al 68 CanadaRegistryCohort12 monthsBleed leading to hospitalisationPCI86722302.65 (2.33 to 3.01)*6
Boggon et al 25 UKRegistryRetrospective cohort12 monthsAny bleeding in patient GPRD or HES recordNR7543NR11.4 (10.4 to 12.6)†5
Carrero et al 28 SwedenRegistryProspective cohort12 monthsMajor bleedNR36 0013330.92 (0.83 to 1.03)*7
Graipe et al 31 SwedenRegistryProspective cohort12 monthsIntracranial bleedNR187 3865900.32 (0.30 to 0.34)6
Wang et al 44 USARegistryCohort12 monthsHaemorrhagic strokeNR169 8633350.20 (0.18 to 0.22)5
Barra et al 23 PortugalInpatientProspective cohort13.4 months (mean)TIMI/GUSTO major criteriaNR852607.04 (5.51 to 8.96)*3
Sra et al 41 CanadaInpatientProspective cohort15 monthsBARC 1–5PCI203444021.6 (19.9 to 23.5)*5
Caneiro-Queija et al 48 SpainRegistryCohort455 days (median)BARC 2–3PCI422950011.8 (10.9 to 12.8)*6
Sørensen et al 40 DenmarkRegistryProspective cohort476.5 days (mean)Fatal and non-fatal bleedPCI40 81219674.82 (4.62 to 5.03)*5
Raposeiras-Roubín et al 52 MulticentreRegistryCohort17.2 months (mean)BARC 3 or 5PCI4310661.53 (1.21 to 1.94)*6
Cuschieri et al 61 USARegistryRetrospective cohort1.7 years (mean)Gastrointestinal bleedNR32181073.33 (2.76 to 4.00)*4
Wong et al 45 UKInpatientRetrospective cohort21 monthsCURE major/life threateningNR224156.70 (4.10 to 10.8)*4
Buresly et al 62 CanadaRegistryCohort654 days (mean)Bleed leading to hospitalisationNR21 44314286.66 (6.33 to 7.00)*3
Voss et al 43 New ZealandRegistryCohort1.94 years (mean)OtherNR36662065.88 (5.15 to 6.71)*4
Brener et al 57 USA and GermanyRegistryProspective cohort24 monthsTIMI, GUSTO and ACUITY Major bleedPCI85824305.17 (4.71 to 5.66)*5
Ertaş et al 51 TurkeyRegistryCohort24 monthsPhysician-confirmed bleeding eventNR1010212.08 (1.36 to 3.16)*4
Blin et al 46 FranceRegistryCohort3 yearsHospitalisation with bleedingNR1585493.09 (2.35 to 4.06)*5
Chamberlain et al 27 USARegistryCohort4.3 yearsOtherNR115931226.9 (24.5 to 29.6)*6
Kazi et al 69 USARegistryRetrospective cohort4.42 years (mean)Major spontaneous bleedingPCI22 5273681.63 (1.48 to 1.81)*5

*Incidence and associated 95% CI calculated from data within study.

†Incidence and associated 95% CI reported within study per 100 person years.

ACUITY, acute catheterisation and urgent intervention triage strategy; AMI, acute myocardial infarction; BARC, Bleeding Academic Research Consortium; CURE, clopidogrel in unstable angina to prevent recurrent events; GPRD, General Practice Research Database; GUSTO, global use of strategies to open occluded arteries; HES, hospital episodes statistics; NR, not reported; PCI, percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction.

Table 3

Summary of randomised controlled trials included in the review by length of follow-up, bleeding definition used and in-hospital management strategy

Primary authorLocationTrialStudy designLength of follow-upBleeding criteriaIn-hospital management strategyNParticipants with bleedCrude incidence of bleeding per 100 persons and 95% CIQuality score
Yusuf et al 56 MulticentreOASIS-5RCT6 monthsOASIS-5 majorNR20 0783571.84 (1.66 to 2.03)*High
Jolly et al 4 MulticentreCUREPost hoc analysis of RCT8 monthsCURE majorPCI2658281.07 (0.74 to 1.54)*6†
Khan et al 34 MulticentreAPPRAISE-2Post hoc analysis of RCT240 days (median)Any bleeding eventNR73925067.32 (6.73 to 7.96)*7†
Carrabba et al 63 ItalyBLESSRCT12 monthsBARC 1–3PCI1937639.4 (32.8 to 46.4)*Acceptable
Cuisset et al 49 FranceTOPICRCT12 monthsBARC≥2PCI63410616.7 (14.0 to 19.8)*Low
Han et al 32 ChinaBRIGHTRCT12 monthsBARC 1–5PCI2194472.33 (1.76 to 3.08)*Acceptable
Savonitto et al 42 ItalyItalian Elderly ACSRCT12 monthsBARC 2, 3a and 3bNR31330.96 (0.33 to 2.78)*Acceptable
Mrdovic et al 38 SerbiaRISK-PCIPost hoc analysis of RCT12 monthsTIMI major/minorPCI2045251.29 (0.87 to 1.89)*5†
Atar et al 60 MulticentreOPUS-TIMI 16Post hoc analysis of RCT12 monthsGastrointestinal bleedNR10 2881041.02 (0.84 to 1.24)*5†
Kohli et al 35 MulticentreTRITON-TIMI 38Post hoc analysis of RCT15 monthsTIMI major/minorPCI12 6744073.23 (2.94 to 3.56) *7†
Mahaffey et al 37 MulticentreTRACERPost hoc analysis of RCT502 days (median)TIMI major/minorNR11 3682362.12 (1.87 to 2.41)*6†
Yeh et al 3 USADAPTRCT18 monthsBARC 2–5PCI35761113.10 (2.58 to 3.72)*Acceptable
Costa et al 66 ItalyPRODIGYPost hoc analysis of RCT24 monthsBARC 2–5PCI1465825.60 (4.53 to 6.89)*5†
Bonaca et al 67 MulticentrePEGASUS-TIMI 54RCT33 monthsTIMI majorNR21 1624352.08 (1.89 to 2.28)*High
Nikolsky et al 58 MulticentreHORIZON-AMIPost hoc analysis of RCT3 yearsHORIZON majorPCI3602632.15 (1.68 to 2.74)*5†
Bergen et al 24 The NetherlandsASPECTRCT37 monthsMajor bleedNR3404992.91 (2.39 to 3.53)*Low

*Incidence and associated 95% CI calculated from data within study.

†Quality assessed by Newcastle Ottawa Scale.

APPRAISE-2, apixaban for prevention of acute ischaemic events; ASPECT, anticoagulants in the secondary prevention of events in coronary thrombosis; BARC, Bleeding Academic Research Consortium; BLESS, bleeding events and maintenance dose of prasugrel; BRIGHT, bivalirudin in acute myocardial infarction vs heparin and glycoprotein inhibitor plus heparin; CURE, clopidogrel in unstable angina to prevent recurrent events; DAPT, dual antiplatelet therapy study; HORIZON, harmonising otcomes with revascularisation and stents; HORIZON-AMI, harmonising outcomes with revascularisation and stents in acute myocardial infarction; GI, gastrointestinal; NR, not reported; OASIS-5, the fifth organisation to assess strategies in acute ischaemic syndromes; OPUS-TIMI 16, orbofiban in patients with unstable coronary syndrome-thrombolysis in myocardial infarction 16; PCI, percutaneous coronary intervention; PRODIGY, prolonging dual antiplatelet treatment after grading stent-induced intimal hyperplasia; PEGASUS-TIMI 54, prevention of cardiovascular events in patients with prior heart attack using ticagrelor compared with placebo on a background of aspirin thrombolysis in myocardial infarction 54; RCT, randomised controlled trial; RISK-PCI, risk scoring model to predict net adverse cardiovascular outcomes after primary percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction; TOPIC, timing of platelet inhibition after acute coronary syndrome; TRACER, thrombin receptor antagonist for clinical event reduction in acute coronary syndrome; TRITON-TIMI 38, trial to assess improvement in therapeutic outcomes by optimising platelet inhibition with prasugrel-thrombolysis in myocardial infarction 38.

Table 4

Summaries of risk of mortality, MACE and rehospitalisation from included studies by length of follow-up

Primary authorLocationSettingLength of follow-upBleeding criteriaAdj/unadj outcomesQuality score
MortalityMACERehospitalisation
Lamberts et al 64 DenmarkRegistry12 monthsFatal and non-fatal bleedAdj HR 2.79 (95% CI 2.39 to 3.26)NRNR7
Brinkert et al 47 CanadaRegistry12 monthsHospitalisation with major bleedingAdj OR 2.97 (95% CI 1.71 to 5.15)NRNR5
Caneiro-Queija et al 48 SpainRegistry455 days (median)BARC 2–3Adj HR 5.10 (95% CI 3.60 to 7.70)NRNR6
Brener et al 57 USA and GermanyRegistry24 monthsTIMI, GUSTO and ACUITY Major bleedBleeds between 30 and 365 days; unadj HR 4.61 (95% CI 1.70 to 12.49)NRNR5
Bleeds>365 days; unadj HR 2.63 (95% CI 0.86 to 8.04)
Schjerning Olsen et al 39 DenmarkRegistry3.5 yearsBleed leading to death or hospitalisationAdj HR 1.51 (95% CI 1.28 to 1.79)NRNR6
Valgimigli et al 53 MulticentreRCTUnclearBARC 1–3BARC 1: adj HR 0.89 (95% CI 0.61 to 1.31)NRNR4*
BARC 2: adj HR 1.70 (95% CI 1.23 to 2.36)
BARC 3a: adj HR 2.77 (95% CI 1.86 to 4.12)
BARC 3b: adj HR 4.51 (95% CI 2.86 to 7.10)
BARC 3c: adj HR 28.2 (95% CI 17.5 to 45.7)
Sørensen et al 40 DenmarkRegistry476.5 days (mean)Fatal and non-fatal bleedNRAdj HR 3.00 (95% CI 2.75 to 3.27)NR5
Amin et al 20 USARegistry12 monthsBARC 1NRNRAdj HR 1.20 (95% CI 0.95 to 1.52)4

*Quality assessed by Newcastle Ottawa Scale.

ACUITY, acute catheterisation and urgent intervention triage strategy; Adj, adjusted; BARC, Bleeding Academic Research Consortium; GUSTO, global use of strategies to open occluded arteries; MACE, major adverse cardiovascular event; NR, not reported; TIMI, thrombolysis in myocardial infarction; unadj, unadjusted.

Summary of observational studies included in the review by length of follow-up, bleeding definition used and in-hospital management strategy *Incidence and associated 95% CI calculated from data within study. †Incidence and associated 95% CI reported within study per 100 person years. ACUITY, acute catheterisation and urgent intervention triage strategy; AMI, acute myocardial infarction; BARC, Bleeding Academic Research Consortium; CURE, clopidogrel in unstable angina to prevent recurrent events; GPRD, General Practice Research Database; GUSTO, global use of strategies to open occluded arteries; HES, hospital episodes statistics; NR, not reported; PCI, percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction. Summary of randomised controlled trials included in the review by length of follow-up, bleeding definition used and in-hospital management strategy *Incidence and associated 95% CI calculated from data within study. †Quality assessed by Newcastle Ottawa Scale. APPRAISE-2, apixaban for prevention of acute ischaemic events; ASPECT, anticoagulants in the secondary prevention of events in coronary thrombosis; BARC, Bleeding Academic Research Consortium; BLESS, bleeding events and maintenance dose of prasugrel; BRIGHT, bivalirudin in acute myocardial infarction vs heparin and glycoprotein inhibitor plus heparin; CURE, clopidogrel in unstable angina to prevent recurrent events; DAPT, dual antiplatelet therapy study; HORIZON, harmonising otcomes with revascularisation and stents; HORIZON-AMI, harmonising outcomes with revascularisation and stents in acute myocardial infarction; GI, gastrointestinal; NR, not reported; OASIS-5, the fifth organisation to assess strategies in acute ischaemic syndromes; OPUS-TIMI 16, orbofiban in patients with unstable coronary syndrome-thrombolysis in myocardial infarction 16; PCI, percutaneous coronary intervention; PRODIGY, prolonging dual antiplatelet treatment after grading stent-induced intimal hyperplasia; PEGASUS-TIMI 54, prevention of cardiovascular events in patients with prior heart attack using ticagrelor compared with placebo on a background of aspirin thrombolysis in myocardial infarction 54; RCT, randomised controlled trial; RISK-PCI, risk scoring model to predict net adverse cardiovascular outcomes after primary percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction; TOPIC, timing of platelet inhibition after acute coronary syndrome; TRACER, thrombin receptor antagonist for clinical event reduction in acute coronary syndrome; TRITON-TIMI 38, trial to assess improvement in therapeutic outcomes by optimising platelet inhibition with prasugrel-thrombolysis in myocardial infarction 38. Summaries of risk of mortality, MACE and rehospitalisation from included studies by length of follow-up *Quality assessed by Newcastle Ottawa Scale. ACUITY, acute catheterisation and urgent intervention triage strategy; Adj, adjusted; BARC, Bleeding Academic Research Consortium; GUSTO, global use of strategies to open occluded arteries; MACE, major adverse cardiovascular event; NR, not reported; TIMI, thrombolysis in myocardial infarction; unadj, unadjusted. Length of follow-up varied from 30 days29 to just over 4 years69 post hospital discharge. The number of participants ranged from 193 to 187 386. The definition for bleeding used by each study in the review are provided in online supplementary table 2. Some studies (n=23) did not report bleeding events based on recognised definitions (such as Bleeding Academic Research Consortium [BARC]). Of the included studies, 27 had specified the in-hospital ACS management strategy. In 26 of these studies, PCI was the baseline management strategy, and in one study the management strategy was a combination of PCI, angiography and medical therapy.

Risk of bias assessment

Summaries of risk of bias of individual studies are provided in tables 2, 3 and 4. Sixty-nine per cent (n=25) of the observational studies were at high risk of bias due to lack of reporting on presence/absence of outcome at start of study, attrition rate, and comparability of cohorts based on analysis (whether study adjusted for confounders or not). Thirty-one per cent (n=11) were at low risk of bias. Two RCTs were high risk, four were at an acceptable risk of bias and two were low risk. The main reasons for low quality in RCTs were inadequate reporting on randomisation, concealment, blinding, adequacy and reliability of outcome measurements. For studies which were post hoc observational analysis of RCTs, five were high risk and four were at low risk of bias.

Incidence of bleeding

In a cohort of 611 412 participants, 14 217 (2.3%) episodes of bleeds were reported in 34 observational studies and 2685 (2.6%) episodes in a cohort of 103 046 participants in 16 RCTs (714 458 participants overall). A summary of the incidence from each study is presented by length of follow-up, bleeding definition used and in-hospital management strategy in table 2 for observational studies and table 3 for RCTs. The overall incidence of bleeding within 12 months post hospital discharge varied from 0.2%44 to 37.5%20 in observational studies, and between 0.96%42 and 39.4%63 in RCTs. The incidence of bleeding stratified by ACS presentation (STEMI, NSTEMI/UA) and discharge antithrombotic drug combinations and duration (SAPT, DAPT and receipt of oral anticoagulant) are summarised by length of follow-up and the bleeding definition used in online supplementary tables 3, 4 and 5. Among those discharged on DAPT with aspirin and a thienopyridine, the incidence of bleeding within the first 12 months based on BARC criteria ranged from 3.91% to 38.8% (see online supplementary table 4) in observational studies, and between 0.96% and 47.4% in RCTs (see online supplementary table 5). Eight observational studies23 36 45 47 51 54 59 70 and two RCTs56 58 comprising 53 318 participants reported bleeding episodes at different time points during follow-up. In these studies, around one-half of bleeds that occurred in the first year post hospital discharge for ACS happened in the initial 1–3 months (figure 2).
Figure 2

Cumulative incidence of bleeding as reported within individual studies at different time points (incidence expressed as proportion per 100 persons). BARC, Bleeding Academic Research Consortium; CURE, clopidogrel in unstable angina to prevent recurrent events; HORIZON, harmonising outcomes with revascularisation and stents; OASIS-5, the fifth organisation to assess strategies in acute ischaemic syndromes; TIMI, thrombolysis in myocardial infarction.

Cumulative incidence of bleeding as reported within individual studies at different time points (incidence expressed as proportion per 100 persons). BARC, Bleeding Academic Research Consortium; CURE, clopidogrel in unstable angina to prevent recurrent events; HORIZON, harmonising outcomes with revascularisation and stents; OASIS-5, the fifth organisation to assess strategies in acute ischaemic syndromes; TIMI, thrombolysis in myocardial infarction. The incidence of major bleeding events in observational studies (based on BARC 3–5) within the first 12 months of hospital discharge was around 1.29%–3.25%. The incidence of minor bleeding events (based on BARC 2) and nuisance bleeds (based on BARC 1) within the same period were around 6.56%–10.6% and 21.9%–37.5%, respectively (see figure 3 and online supplementary table 6). Generally, bruising (defined as skin haematoma, ecchymosis, petechiae) were the most commonly reported types of bleeding events post hospital discharge (range: 1.49%–22.5% within 12 months) followed by gastrointestinal bleeds (range: 0.25%–7.63% within 12 months; see figure 4 and online supplementary table 7).
Figure 3

Incidence of bleeding stratified by severity in observational studies that reported bleeding by Bleeding Academic Research Consortium (BARC) criteria within the first 12 months after hospital discharge.

Figure 4

Incidence of each type of bleeding event within the first 12 months after hospital discharge in observational studies.

Incidence of bleeding stratified by severity in observational studies that reported bleeding by Bleeding Academic Research Consortium (BARC) criteria within the first 12 months after hospital discharge. Incidence of each type of bleeding event within the first 12 months after hospital discharge in observational studies.

Bleeding and risk of mortality

There was consistent reporting of an association between postdischarge bleeding and all-cause mortality in five observational studies39 47 48 57 64 and one RCT53 (table 4). Major bleeding was associated with nearly threefold increased risk of mortality in the first 12 months of hospital discharge in two studies (table 4).47 64 Nuisance bleeding events defined as BARC 1 were not associated with mortality in one RCT, but there was an increased risk of mortality with BARC 2 and 3 bleeds in the same RCT,53 which increased with bleeding severity (table 4). The SOE for the outcome of mortality was rated low (online supplementary table 8).

Bleeding and risk of MACE, rehospitalisation and re-infarction

The adjusted (adj) risk (HR) of MACE with bleeding (defined as bleeds leading to hospitalisation or death) was 3.00 (95% CI 2.75 to 3.27 in one study; table 4).40 There was a statistically non-significant association between postdischarge bleed (defined as BARC 1 bleeds) and risk of rehospitalisation (adj HR 1.20, 95% CI 0.95 to 1.52 in another study; table 4).20 There were no studies examining the association between postdischarge bleeding and subsequent risk of re-infarction. The SOE for the outcomes of MACE and rehospitalisation were rated insufficient (online supplementary table 8).

Discussion

Our systematic review is the first to study the incidence, timing and types of postdischarge bleeding complications, and their association with mortality, MACE, re-infarction and rehospitalisation. Fifty-three studies were included, comprising 36 observational studies and 17 RCTs with a combined cohort of 714 458 participants for the primary objectives and 187 317 for the secondary objectives. We report that bleeding complications post-ACS are common following hospital discharge, and vary by length of follow-up, severity, type and the definition of bleeding used. We report that the incidence of bleeding was highest in the initial 3 months after hospital discharge for ACS, with bleeding events continuing to occur even after 1-year postdischarge. The majority of postdischarge bleeding events were nuisance bleeds such as ecchymosis and petechiae, with major bleeding events such as intracranial haemorrhage less common. While there was substantial heterogeneity between studies, we report that up to one-third of patients discharged on DAPT will experience bleeding complications in the first 12 months after hospital discharge, and around 1.3%–3.3% of patients will experience a major bleed. Our review shows that major bleeding may increase the risk of mortality by nearly threefold in the first 12 months after hospital discharge, but the strength of the evidence was weak. We identified very limited data on whether postdischarge bleeding was associated with MACE and rehospitalisation. Although there was an indication of an association with MACE in one study40 and rehospitalisation in another,20 the latter association did not reach statistical significance.

Clinical implications

Although current guidelines71–73 have recommended dual therapy with aspirin and a thienopyridine for up to 12 months and triple therapy in the presence of comorbid conditions such as atrial fibrillation for shorter periods, it was evident from our study that these maintenance therapies are accompanied by bleeding complications which predominantly occur post hospital discharge. Consideration must therefore be given to ways of minimising these bleeding complications, such as by encouraging clinicians to use risk scoring algorithms such as DAPT,74 precise-DAPT,75 BleeMACS score76 (for patients with ACS treated with PCI) or TRILOGY-ACS bleeding risk model77 (for patients with NSTEMI/UA managed medically) to identify patients at higher risk of these bleeding complications, such that maintenance oral antithrombotics or newer oral anticoagulants that have more favourable safety profile than warfarin can be tailored to fit each patient’s risk profile. However, it must be borne in mind that many of these risk algorithms were developed in the clinical trial setting, and have not yet been validated in unselected cohorts. Aspirin regardless of dose increases the risk of gastrointestinal bleeds.78 79 In high-risk patients such as those with previous history of these types of bleeds, concomitant use of a proton pump inhibitor as advocated by the European Society of Cardiology guidelines will reduce the future risk of these bleeds.80

Research implications

The majority of studies in this review were not primarily designed to investigate the incidence of bleeding complications. This meant that incidences could only be reported here as per 100 persons, that is, essentially as a proportion, rather than per 100 persons years at risk. This underscores the need to examine the incidence of these bleeding events using high-quality observational studies that are more reflective of the real-world populations encountered in clinical practice. The incidence of postdischarge bleeding complications may vary by type of bleed, patient demographics and discharge pharmacotherapy. Future studies should explore factors associated with postdischarge bleeding complications so that risk stratification tools that are more representative of the unselected cohorts encountered in clinical practice (often ignored in RCTs) can be developed to identify individuals at high risk of bleeding post hospital discharge, as most contemporary bleeding risk scores predict in-hospital bleeding events.81–83 We also report that bleeding complications post hospital discharge may be associated with subsequent risk of mortality, although evidence from the literature was limited. The risks of MACE and rehospitalisation were only reported in two studies, and none of the studies in the review reported on re-infarction. Future research is required to quantify these associations, with particular emphasis on whether nuisance and minor bleeding events that are much more common post hospital discharge also have a prognostic impact. Finally, future research examining these associations should stratify by the timing of the bleeding events in order to determine whether the prognostic impacts of these bleeding complications are more pronounced in the early phases of hospital discharge or are equally important in the long term after hospital discharge.

Limitations of the review

This study has several potential limitations. First, the studies included in the review were too heterogeneous in regard to bleeding definition, ACS presentation, demographic characteristics of the study participants, severity and type of bleeding examined, length of follow-up, discharge antiplatelet and anticoagulant regimens to pool data to obtain an overall incidence and mortality figures. Second, the duration and dosage of discharge antithrombotic therapy as well as in-hospital management strategies were not specified in the majority of studies (due to selective reporting), as such we were unable to adequately assess the impact of these factors on the incidence of bleeding. In the majority of studies, episodes of bleeds were extracted to calculate incidence figures. In most of these studies, there was lack of clarity on whether patients were included in the numerator more than once if they had multiple episodes of bleeds. However, since bleeding complications are rare events5 7 84 and having more than one episode of bleeding is even rarer, it is unlikely that this would have affected the overall incidence. Similarly, for some studies where episodes of bleeds were reported at different time intervals and the number of people at risk within each time interval were not reported, incidence figures were estimated based on the assumption that there was no attrition, hence these figures may have been underestimated.

Conclusions

In this systematic review of 53 studies, bleeding complications post hospital discharge for ACS were found to be common, with bruising the most common. These bleeding complications vary by severity, anatomic source and type of discharge antithrombotic therapy, and while most common immediately postdischarge, these bleeds continue to occur in the long term. There are limited data around the long-term outcomes of patients that sustain bleeding events post hospital discharge for ACS. Further work is required to define the nature, frequency and prognostic impact of such bleeding events, using formal bleeding definitions. Real-world risk stratification tools will need to be developed that specifically predict the risk of bleeding complications postdischarge to identify high-risk individuals for a more patient-centred approach in managing optimal pharmacotherapy and care.
  82 in total

1.  Incidence, predictors, and prognostic implications of hospitalization for late bleeding after percutaneous coronary intervention for patients older than 65 years.

Authors:  Dennis T Ko; Lingsong Yun; Harindra C Wijeysundera; Cynthia A Jackevicius; Sunil V Rao; Peter C Austin; Jean-François Marquis; Jack V Tu
Journal:  Circ Cardiovasc Interv       Date:  2010-03-23       Impact factor: 6.546

2.  Development and external validation of a post-discharge bleeding risk score in patients with acute coronary syndrome: The BleeMACS score.

Authors:  Sergio Raposeiras-Roubín; Jonas Faxén; Andrés Íñiguez-Romo; Jose Paulo Simao Henriques; Fabrizio D'Ascenzo; Jorge Saucedo; Karolina Szummer; Tomas Jernberg; Stefan K James; José Ramón González Juanatey; Stephen B Wilton; Wouter J Kikkert; Iván Nuñez-Gil; Albert Ariza-Sole; Xiantao Song; Dimitrios Alexopoulos; Christoph Liebetrau; Tetsuma Kawaji; Claudio Moretti; Zenon Huczek; Shao-Ping Nie; Toshiharu Fujii; Luis Correia; Masa-Aki Kawashiri; Berenice Caneiro-Queija; Rafael Cobas-Paz; José María García Acuña; Danielle Southern; Emilio Alfonso; Belén Terol; Alberto Garay; Dongfeng Zhang; Yalei Chen; Ioanna Xanthopoulou; Neriman Osman; Helge Möllmann; Hiroki Shiomi; Francesca Giordana; Fiorenzo Gaita; Michal Kowara; Krzysztof Filipiak; Xiao Wang; Yan Yan; Jing-Yao Fan; Yuji Ikari; Takuya Nakahayshi; Kenji Sakata; Masakazu Yamagishi; Oliver Kalpak; Sasko Kedev; Daniel Rivera-Asenjo; Emad Abu-Assi
Journal:  Int J Cardiol       Date:  2018-01-28       Impact factor: 4.164

3.  Effects of aspirin dose on ischaemic events and bleeding after percutaneous coronary intervention: insights from the PCI-CURE study.

Authors:  Sanjit S Jolly; Janice Pogue; Kimberly Haladyn; Ron J G Peters; Keith A A Fox; Alvaro Avezum; Bernard J Gersh; Hans Jurgen Rupprecht; Salim Yusuf; Shamir R Mehta
Journal:  Eur Heart J       Date:  2008-09-26       Impact factor: 29.983

4.  BLEED-Myocardial Infarction Score: Predicting mid-term post-discharge bleeding events.

Authors:  Sérgio Barra; Rui Providência; Francisca Caetano; Inês Almeida; Luís Paiva; Paulo Dinis; António Leitão Marques
Journal:  World J Cardiol       Date:  2013-06-26

5.  Incidence, predictors, and prognostic implications of bleeding and blood transfusion following percutaneous coronary interventions.

Authors:  Timothy D Kinnaird; Eugenio Stabile; Gary S Mintz; Cheol Whan Lee; Daniel A Canos; Natalie Gevorkian; Ellen E Pinnow; Kenneth M Kent; Augusto D Pichard; Lowell F Satler; Neil J Weissman; Joseph Lindsay; Shmuel Fuchs
Journal:  Am J Cardiol       Date:  2003-10-15       Impact factor: 2.778

6.  Comparison of fondaparinux and enoxaparin in acute coronary syndromes.

Authors:  Salim Yusuf; Shamir R Mehta; Susan Chrolavicius; Rizwan Afzal; Janice Pogue; Christopher B Granger; Andrzej Budaj; Ron J G Peters; Jean-Pierre Bassand; Lars Wallentin; Campbell Joyner; Keith A A Fox
Journal:  N Engl J Med       Date:  2006-03-14       Impact factor: 91.245

7.  Efficacy and safety of fondaparinux versus enoxaparin in patients with acute coronary syndromes undergoing percutaneous coronary intervention: results from the OASIS-5 trial.

Authors:  Shamir R Mehta; Christopher B Granger; John W Eikelboom; Jean-Pierre Bassand; Lars Wallentin; David P Faxon; Ron J G Peters; Andrzej Budaj; Rizwan Afzal; Susan Chrolavicius; Keith A A Fox; Salim Yusuf
Journal:  J Am Coll Cardiol       Date:  2007-10-15       Impact factor: 24.094

8.  The Impact of Timing of Ischemic and Hemorrhagic Events on Mortality After Percutaneous Coronary Intervention: The ADAPT-DES Study.

Authors:  Sorin J Brener; Ajay J Kirtane; Thomas D Stuckey; Bernhard Witzenbichler; Michael J Rinaldi; Franz-Josef Neumann; D Christopher Metzger; Timothy D Henry; David A Cox; Peter L Duffy; Ernest L Mazzaferri; Roxana Mehran; Rupa Parvataneni; Bruce R Brodie; Gregg W Stone
Journal:  JACC Cardiovasc Interv       Date:  2016-06-29       Impact factor: 11.195

9.  Impact of Bleeding on Quality of Life in Patients on DAPT: Insights From TRANSLATE-ACS.

Authors:  Amit P Amin; Tracy Y Wang; Lisa McCoy; Richard G Bach; Mark B Effron; Eric D Peterson; David J Cohen
Journal:  J Am Coll Cardiol       Date:  2016-01-05       Impact factor: 24.094

10.  Baseline risk of major bleeding in non-ST-segment-elevation myocardial infarction: the CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the ACC/AHA Guidelines) Bleeding Score.

Authors:  Sumeet Subherwal; Richard G Bach; Anita Y Chen; Brian F Gage; Sunil V Rao; L Kristin Newby; Tracy Y Wang; W Brian Gibler; E Magnus Ohman; Matthew T Roe; Charles V Pollack; Eric D Peterson; Karen P Alexander
Journal:  Circulation       Date:  2009-03-30       Impact factor: 29.690

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  4 in total

1.  Predictive value of the age, creatinine and ejection fraction score in patients undergoing primary percutaneous coronary intervention with bail-out tirofiban therapy.

Authors:  Altuğ Ösken; Recep Hacı; Sena Sert Şekerci; Lale Dinç Asarcıklı; Gizem Yüksel; Büşra Ceylan; Şennur Ünal Dayı; Neşe Çam
Journal:  Postepy Kardiol Interwencyjnej       Date:  2021-07-09       Impact factor: 1.426

2.  Incidence and predictors of serious bleeding during long-term follow-up after acute coronary syndrome in a population-based cohort study.

Authors:  Anna Graipe; Anders Ulvenstam; Anna-Lotta Irevall; Lars Söderström; Thomas Mooe
Journal:  Sci Rep       Date:  2021-11-09       Impact factor: 4.379

3.  Real-world bleeding in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) and prescribed different combinations of dual antiplatelet therapy (DAPT) in England: a population-based cohort study emulating a 'target trial'.

Authors:  Maria Pufulete; Jessica Harris; Koen Pouwels; Barney C Reeves; Daniel Lasserson; Yoon K Loke; Andrew Mumford; Kalaivani Mahadevan; Thomas W Johnson
Journal:  Open Heart       Date:  2022-08

4.  Bleeding After Hospital Discharge Following Acute Coronary Syndrome: Incidence, Types, Timing, and Predictors.

Authors:  Nafiu Ismail; Kelvin P Jordan; Umesh T Kadam; John J Edwards; Tim Kinnaird; Mamas A Mamas
Journal:  J Am Heart Assoc       Date:  2019-10-28       Impact factor: 5.501

  4 in total

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